Building Quantitative Models for Energy Affordability
Building Quantitative Models for Energy Affordability How predictive modeling and scenario analysis can help utilities better support low-income households Energy is not just another monthly expense. For many families, it is the difference between a safe home and a risky one. When bills rise faster than income, households face impossible tradeoffs: pay the utility bill or buy groceries, keep the heat on or refill a prescription, avoid arrears or cover rent. Utilities also face a difficult balancing act. They must manage operational costs, ensure reliability, meet regulatory expectations, and maintain financial sustainability, while protecting customers who are most vulnerable. The good news is that data-driven methods can help utilities act earlier, target support more accurately, and measure what really works. Quantitative modeling for energy affordability is not about replacing human judgment or community programs. It is about making support systems smarter, faster, and more...